Reconfiguration and Optimal Positioning of Multiple-Point Capacitors in a High-Voltage Distribution Network Using the NSGAII  

作　　者：Arouna Oloulade Richard Gilles Agbokpanzo Maurel Richy Aza-Gnandji Hassane Ousseyni Ibrahim Moussa Gonda Eméric Tokoudagba Juliano Sétondji François-Xavier Fifatin Adolphe Moukengue Imano Arouna Oloulade;Richard Gilles Agbokpanzo;Maurel Richy Aza-Gnandji;Hassane Ousseyni Ibrahim;Moussa Gonda;Eméric Tokoudagba;Juliano Sétondji;François-Xavier Fifatin;Adolphe Moukengue Imano(Abomey-Calavi Polytechnic School, Electrical Engineering Department (EPAC), Electronics, Telecommunications and Applied Computing Laboratory (LETIA), University of Abomey-Calavi, Cotonou, Benin;Electrical Engineering Department, National University of Science, Technology, Engineering and Mathematics, Lokossa, Benin;Laboratory of Rural Engineering, National University of Agriculture, Porto-Novo, Benin;Polytech Maradi, Electrical Engineering Department, University Dan Dicko of Dankoulodo of Maradi, Maradi, Niger;University Institute of Technology, Electrical Engineering Department, University of Douala, Douala, Cameroun)

机构地区：[1]Abomey-Calavi Polytechnic School, Electrical Engineering Department (EPAC), Electronics, Telecommunications and Applied Computing Laboratory (LETIA), University of Abomey-Calavi, Cotonou, Benin [2]Electrical Engineering Department, National University of Science, Technology, Engineering and Mathematics, Lokossa, Benin [3]Laboratory of Rural Engineering, National University of Agriculture, Porto-Novo, Benin [4]Polytech Maradi, Electrical Engineering Department, University Dan Dicko of Dankoulodo of Maradi, Maradi, Niger [5]University Institute of Technology, Electrical Engineering Department, University of Douala, Douala, Cameroun

出　　处：《Open Journal of Applied Sciences》2025年第2期501-516,共16页应用科学(英文)

摘　　要：The distribution networks sometimes suffer from excessive losses and voltage violations in densely populated areas. The aim of the present study is to improve the performance of a distribution network by successively applying mono-capacitor positioning, multiple positioning and reconfiguration processes using GA-based algorithms implemented in a Matlab environment. From the diagnostic study of this network, it was observed that a minimum voltage of 0.90 pu induces a voltage deviation of 5.26%, followed by active and reactive losses of 425.08 kW and 435.09 kVAR, respectively. Single placement with the NSGAII resulted in the placement of a 3000 kVAR capacitor at node 128, which proved to be the invariably neuralgic point. Multiple placements resulted in a 21.55% reduction in losses and a 0.74% regression in voltage profile performance. After topology optimization, the loss profile improved by 65.08% and the voltage profile improved by 1.05%. Genetic algorithms are efficient and effective tools for improving the performance of distribution networks, whose degradation is often dynamic due to the natural variability of loads.The distribution networks sometimes suffer from excessive losses and voltage violations in densely populated areas. The aim of the present study is to improve the performance of a distribution network by successively applying mono-capacitor positioning, multiple positioning and reconfiguration processes using GA-based algorithms implemented in a Matlab environment. From the diagnostic study of this network, it was observed that a minimum voltage of 0.90 pu induces a voltage deviation of 5.26%, followed by active and reactive losses of 425.08 kW and 435.09 kVAR, respectively. Single placement with the NSGAII resulted in the placement of a 3000 kVAR capacitor at node 128, which proved to be the invariably neuralgic point. Multiple placements resulted in a 21.55% reduction in losses and a 0.74% regression in voltage profile performance. After topology optimization, the loss profile improved by 65.08% and the voltage profile improved by 1.05%. Genetic algorithms are efficient and effective tools for improving the performance of distribution networks, whose degradation is often dynamic due to the natural variability of loads.

关 键 词：RECONFIGURATION Capacitor Bank NSGA II Dynamic Network Degradation Distribution Network Reliability 

分 类 号：TN9[电子电信—信息与通信工程]